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March 2, 2026SHILAP Revista de lepidopterologíaOpen Access

Correction: Deep Learning–Based Pattern Recognition for Detecting Penile Abnormalities: Protocol for Developing a Mobile App for Circumcision Eligibility

Irfan Wahyudi Chandra Prasetyo Utomo Samsuridjal Djauzi Muhamad Fathurahman Gerhard Reinaldi Situmorang Arry Rodjani Putu Angga Risky Raharja Kevin Yonathan Budi Santoso Dwidian Khresna Marco Raditya

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Key Points

This correction aims to update the protocol for developing a mobile app that utilizes deep learning for detecting penile abnormalities related to circumcision eligibility.
Review of existing protocol for mobile app development
Incorporation of deep learning algorithms for pattern recognition
Focus on the detection of penile abnormalities
Clarification of protocol steps
Enhanced focus on applicability of deep learning techniques
Improvement of user interaction features in the app

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Implication

Correction identifies improvements in deep learning app for assessing circumcision eligibility.

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Cite This Study

Wahyudi et al. (2026) studied this question.

synapsesocial.com/papers/69a91cf1d6127c7a504bfc8b https://doi.org/10.2196/89351

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Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Digital Pattern Recognition Using Deep Learning Architectures to Detect Penile Abnormalities: Protocol for the Development of a Mobile Application for Circumcision Eligibility (Preprint)2024
2MP61-02 SNAP DIAGNOSIS: PILOT STUDY OF AI-POWERED SMARTPHONE APPLICATION FOR PENILE CANCER DETECTION FROM THE COMFORT OF YOUR HOME2024
3The Development and Performance of a Machine Learning Based Mobile Platform for Visually Determining the Etiology of Penile Pathology2024
4The Development and Performance of a Machine-Learning Based Mobile Platform for Visually Determining the Etiology of 5 Penile Diseases2024 · 6 citations
5(747) A Novel Deep Learning Algorithm for Predicting Treatment Response to Phosphodiesterase Type 5 Inhibitors in Men with Erectile DysfunctionRetrospective Study · 2026

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